knowledge graphs and llms

• good explanation on fundamental difference between knowledge graphs and llms
  • unifying large language models and knowledge graphs: a roadmap

property	knowledge graphs	large language models
---------------------------	--------------------------	--------------------------
representation	structured: triples	unstructured: text
knowledge storage	explicit	implicit
interpretability	high	low
generalizability	low	high
factual accuracy	high	low
reasoning	symbolic and probabilistic	probabilistic
knowledge update	easy	hard
decisiveness	high	low
unseen facts	no	yes
incompleteness	high	low

• 
• create visualization
• insights are the following that knowledge graphs and llms are
  • fundamentally different
  • must interact in any intelligent system
  • key to superintelligence
• go on to dive into
  • cybergraph and truth machine
  • as beautiful counterpart probabilistic model for llm
  • in a modern soft3 stack